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agent/papers/items/2026-2605-11225-pivot-bridging-planning-and-execution-in-llm-agents-via-trajectory-refinement.md
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2026-07-08 12:25:30 +08:00

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Paper: PIVOT: Bridging Planning and Execution in LLM Agents via Trajectory Refinement


type: paper title: "PIVOT: Bridging Planning and Execution in LLM Agents via Trajectory Refinement" authors: Tuo Zhang, Alin-Ionut Popa, Yan Xu, Rui Song, Dimitrios Dimitriadis year: 2026 venue: arXiv url: https://arxiv.org/abs/2605.11225 code_url: source: arxiv collected_at: 2026-07-08 published_at: 2026-05-11 updated_at: 2026-05-11 status: queued relevance: high topics:

  • agent-evaluation
  • agent-safety
  • coding-agent
  • planning
  • tool-use methods:

benchmarks:

models:

datasets:

  • cs.AI
  • cs.LG
  • cs.MA related_concepts:

collection_score: 17 collection_queries: autonomous-agent-llm, planning-agent

One-line Takeaway

Auto-collected from arXiv because it matched the Agent collection queries. Needs human skim.

Why Collected

  • matched queries: autonomous-agent-llm, planning-agent
  • inferred topics: agent-evaluation, agent-safety, coding-agent, planning, tool-use
  • arXiv categories: cs.AI, cs.LG, cs.MA
  • collection score: 17

Review Checklist

  • Does this paper directly inform Agent architecture, evaluation, memory, tools, safety, coding agents, GUI/browser agents, or multi-agent workflows?
  • Does it include a benchmark, dataset, code, or reproducible experimental setup?
  • Should it be promoted from queued to skimmed or summarized?